gpeyre / 2016-SIGGRAPH-gw
J. Solomon, G. Peyré, V. Kim, S. Sra. Entropic Metric Alignment for Correspondence Problems. ACM Transactions on Graphics (Proc. SIGGRAPH 2016), 35(4), pp. 72:1–72:13, 2016
☆10Updated 8 years ago
Alternatives and similar repositories for 2016-SIGGRAPH-gw:
Users that are interested in 2016-SIGGRAPH-gw are comparing it to the libraries listed below
- An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.☆38Updated 8 years ago
- Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval☆18Updated 8 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆35Updated 4 years ago
- Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).☆48Updated 6 years ago
- Synchronized Spectral CNN for 3D Shape Segmentation.☆51Updated 8 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Updated 4 years ago
- ☆40Updated 6 years ago
- A collection of spectral descriptors for 3D meshed surfaces☆60Updated 7 years ago
- Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"☆30Updated 7 years ago
- ☆44Updated 5 years ago
- This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".☆62Updated 4 years ago
- ☆92Updated 6 years ago
- ☆44Updated 5 years ago
- Code for "Variational Autoencoders for Deforming 3D Mesh Models", CVPR 2018☆29Updated 10 months ago
- ☆44Updated 7 years ago
- ☆82Updated 3 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆47Updated 5 years ago
- This repository contains the implementation of my M.Sc. work "Partial Correspondence of 3D Shapes using Properties of the Nearest-Neighbo…☆10Updated 5 years ago
- Point Convolutional Neural Networks by Extension Operators☆57Updated 5 years ago
- ☆97Updated 7 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 4 years ago
- FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis☆58Updated 6 years ago
- Non-Rigid Point Set Registration Networks☆54Updated 5 years ago
- PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".☆147Updated 3 years ago
- ☆43Updated 2 years ago
- ArXiv'18 pre-print "Learning 3D Shape Completion under Weak Supervision".☆15Updated 6 years ago
- ☆37Updated 7 years ago
- Source code for CVPR 2018 Oral paper "Surface Networks"☆92Updated 5 years ago
- The implementation of "Learning a Hierarchical Latent-Variable Model of 3D Shapes" [3DV 2018].☆36Updated 3 years ago
- Code and data for "Learning Compact Geometric Features"☆41Updated 5 years ago